International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 12 | Dec 2024
p-ISSN: 2395-0072
www.irjet.net
Leveraging AI to Optimize Governance, Risk, and Compliance Frameworks Vinay K1 1Security Analyst cum Trainer, Institute of Information Security
Mumbai, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The integration of Artificial Intelligence (AI) into
patterns, and make intelligent decisions. By automating these processes, it helps the organization/industries with better risk assessment, proactive compliance monitoring. It also helps the industry to achieve greater time efficiency, reduce costs, and mitigate risk with intelligent decisions. [1,9]
Governance, Risk Management, and Compliance (GRC) frameworks is transforming how organizations manage and mitigate risks, ensure compliance, and optimize operations. This paper explores the potential of AI in enhancing GRC processes, including risk assessment, incident response, and compliance monitoring. Through a mixed-method approach combining qualitative and quantitative analysis, the study identifies key components of AI-powered GRC and assesses the benefits and challenges associated with its implementation. The research highlights the ability of AI to automate routine tasks, provide real-time insights, and improve decisionmaking, leading to increased efficiency and accuracy. However, it also addresses significant challenges such as policy and governance issues, ethical and legal concerns, and security threats. Case studies from various industries demonstrate the practical applications and successes of AI in GRC. The paper concludes with recommendations for organizations seeking to integrate AI into their GRC frameworks, emphasizing the need for robust governance, ethical guidelines, and advanced security measures.
This paper will follow a mixed-method approach which uses combining techniques such as analysis, quantitative and qualitative methods. It will delve into multiple components of GRC such as risk assessment, incidence response, compliance monitoring and examine each component with Artificial Intelligence. It also discusses the benefits and challenges of Governance, Risk Management, Compliance (GRC) with the Artificial Intelligence (AI) and provides the case studies of the different organizations who have implemented Artificial Intelligence with their GRC process successfully with their organization efficiency This paper has the following research objective is followed as:
Key Words: Artificial Intelligence, Governance, Risk Management, Compliance, Decision-Making, Policy, Ethics, Law
To identify the key components of the GRC Process and examine components with AI integration. [3]
To assess the benefits and challenges of AI powered GRC including different parameters such as cost, efficiency, and accuracy. [2]
To examine different industry case studies where Artificial Intelligence with GRC processes in their process. [7]
To provide recommendations for organizations/industries seeking where AI can be integrated with them.
1.INTRODUCTION Organizations now face never-before-seen challenges with risk management, compliance, and effective governance in the complex rapidly evolving business environment. The intersection of the Governance, Risk Management, Compliance (GRC) with the Artificial Intelligence (AI) presents technologies which can be organized by enhancing their risk management, better operational efficiency along with a better GRC in this. GRC, is the simple words, is an integration of the multiple of different governance, regulation, and compliance come together along with the risk management process.
The research intends to add to the increasing volume of knowledge on the connection between AI and GRC by addressing these research objectives. It will provide useful information to organizations aiming to improve their GRC practices to make use of AI's potential for improving efficiency, effectiveness, and compliance.
Traditional GRC practice used methods such as Interview, Discuss, Self-Assessment Questionnaires, Compliance Checklists, Gap Analysis. Mostly these methods rely on the manual process and compile of the data which will lead to inefficiencies, errors, and delays. By using the Artificial Intelligence powered GRC, help the GRC process to use the ability of the AI to process a huge amount of data, identity
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2. LITERATURE REVIEW This The intersection of the Governance, Risk and Compliance (GRC) with the Artificial Intelligence (AI) has
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